Maria Elena Duron | Marketing Coach | Strategist

AI Strategist + Trainer | Business Growth with Google Coach
Making AI+Google simple, searchable &growth-focused
Chief AI Officer, AI Works TX
Founder #brandchat

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

@ChibiReviews Thank you @ChibiReviews ! I feel that always with you & enjoy your vids especially those on ReZero & Mushoku Tensei!❤️🙌 Keep it up!

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐁𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮 𝐫𝐞𝐰𝐫𝐢𝐭𝐞 𝐚 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐩𝐚𝐠𝐞 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐜𝐚𝐥𝐥𝐬 𝐬𝐥𝐨𝐰𝐞𝐝 𝐝𝐨𝐰𝐧, 𝐜𝐡𝐞𝐜𝐤 𝐰𝐡𝐚𝐭 𝐆𝐨𝐨𝐠𝐥𝐞 𝐰𝐚𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐬𝐡𝐨𝐰𝐢𝐧𝐠 𝐲𝐨𝐮 𝐟𝐢𝐫𝐬𝐭.
⠀
This is one of the most common places I see small businesses lose time.
⠀
Fewer calls come in. A form isn't getting submitted. A business owner searches for their own service, sees something different, and immediately starts wondering if the website copy needs to be changed, the Google Business Profile needs to be edited, or new keywords need to be added everywhere.
⠀
Sometimes the page does need work. Sometimes the Google Business Profile needs attention. Sometimes the offer, reviews, service descriptions, or customer path are part of the issue.
⠀
But before changing several things at once, look at the evidence.
⠀
Google Search Console can help you separate three different problems that often get blended together:
⠀
✅ Where did visibility change?
⠀
Look at which pages lost impressions or clicks. A drop on one service page is different from a drop across the whole site, and a homepage change tells a different story than a specific blog post or location page losing visibility.
⠀
✅ What searches changed?
⠀
Look at the queries people used before the slowdown and compare them to the newer period. If impressions dropped for a valuable service phrase, that is a different issue than clicks dropping on a broad question-based search that rarely turned into customers.
⠀
✅ How did the customer path change?
⠀
If impressions stayed steady but clicks dropped, the issue may be how your result appears or whether the searcher now has better options on the page. If clicks stayed steady but calls or forms slowed down, the problem may sit closer to the page experience, offer clarity, trust signals, booking path, or follow-up process.
⠀
This is why I do not like seeing business owners make five changes at once out of frustration.
⠀
A better first step is to run a step by step checkup.
⠀
Pick the page or service that feels quieter. Compare the last 28 days with the previous 28 days. Look at impressions, clicks, average position, and the search terms connected to that page. Then decide whether the issue is visibility, clicks, trust, or the next step after someone lands on the page.

𝐓𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤 𝐦𝐨𝐫𝐞 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥. 𝐈𝐭 𝐦𝐚𝐤𝐞𝐬 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤 𝐥𝐞𝐬𝐬 𝐫𝐚𝐧𝐝𝐨𝐦.
⠀
Stop chasing every Google change or rewrite a page every time the phone feels quiet. Be practical & purposeful.
⠀
👉 Before you edit, check.
👉 Before you guess, compare.
👉 Before you change five things, find the part of the path that actually needs attention.
⠀
𝐆𝐨𝐨𝐠𝐥𝐞 𝐝𝐚𝐭𝐚 𝐰𝐨𝐧’𝐭 𝐦𝐚𝐤𝐞 𝐞𝐯𝐞𝐫𝐲 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐟𝐨𝐫 𝐲𝐨𝐮. 𝐁𝐮𝐭 𝐢𝐭 𝐜𝐚𝐧 𝐤𝐞𝐞𝐩 𝐲𝐨𝐮 𝐟𝐫𝐨𝐦 𝐟𝐢𝐱𝐢𝐧𝐠 𝐭𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.
⠀
#GoogleSearchConsole #GoogleBusinessProfile #SmallBusinessMarketing #LocalSEO

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐇𝐨𝐰 𝐦𝐮𝐜𝐡 𝐚𝐮𝐭𝐡𝐨𝐫𝐢𝐭𝐲 𝐝𝐢𝐝 𝐲𝐨𝐮 𝐠𝐢𝐯𝐞 𝐀𝐈 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐢𝐭 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐢𝐧𝐛𝐨𝐱, 𝐜𝐚𝐥𝐞𝐧𝐝𝐚𝐫, 𝐟𝐨𝐥𝐝𝐞𝐫𝐬, 𝐨𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐫𝐞𝐜𝐨𝐫𝐝𝐬?
⠀
Most businesses think about access as a convenience. The tool can read the message, check the calendar, prepare a response, update the spreadsheet, or move the process forward without someone repeating every step manually.
⠀
That convenience can be valuable, but access can quietly become authority when no one has clearly decided where the tool is allowed to stop.
⠀
Imagine an AI tool receives a customer message asking to reschedule an appointment. It can identify the request, check the calendar, draft a response, create a new appointment, and update the customer record.
⠀
The process sounds simple until the tool selects the wrong service, follows an outdated policy, changes the wrong record, or sends a response before anyone reviews it. By the time someone notices, the customer may already be confused and the business has to explain what happened.
⠀
The question has moved beyond whether the tool is capable of completing the task. The business also needs to decide how much authority belongs with the tool and where a person still needs to approve the next step.
⠀
I use four levels to make that decision easier:
⠀
READ: The tool can access the information it needs.
⠀
DRAFT: It can prepare a response, document, or update for someone to review.
⠀
RECOMMEND: It can suggest an action and explain why it is recommending it.
⠀
ACT: It can complete the action without waiting for human approval.
⠀
Those permissions may be different for every task.
⠀
An AI tool may be allowed to draft a routine appointment reminder while only recommending a response to an unhappy customer. It may organize information in a spreadsheet while being blocked from changing prices, approving refunds, updating policies, editing contracts, or publishing a public response.
⠀
Before connecting AI to another part of the business, answer these questions in writing:
⠀
✅ What information may the tool read?
⠀
✅ What may it draft for review?
⠀
✅ Which actions may it recommend?
⠀
✅ What may it change, send, or complete on its own?
⠀
✅ Who reviews the activity and corrects mistakes?
⠀
✅ Which decisions always stay with a person?
⠀
A small business does not need a fifty-page AI policy before using a helpful tool. It does need clear limits anywhere AI can reach customer information, communication channels, money, schedules, company records, or public content.
⠀
𝐀𝐜𝐜𝐞𝐬𝐬 𝐦𝐚𝐤𝐞𝐬 𝐀𝐈 𝐦𝐨𝐫𝐞 𝐮𝐬𝐞𝐟𝐮𝐥. 𝐂𝐥𝐞𝐚𝐫 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐫𝐢𝐠𝐡𝐭𝐬 𝐤𝐞𝐞𝐩 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐢𝐭𝐬 𝐩𝐞𝐨𝐩𝐥𝐞 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐥𝐞 𝐟𝐨𝐫 𝐰𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐧𝐞𝐱𝐭.
⠀
I wrote a practical guide to the non-technical AI literacy teams need before AI becomes part of everyday work. I’ll place it in the first comment.
⠀
#AIForSmallBusiness #AIGovernance #AIAdoption #BusinessSystems

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐎𝐧𝐞 𝐚𝐩𝐩𝐫𝐨𝐯𝐞𝐝 𝐬𝐨𝐮𝐫𝐜𝐞. 𝐎𝐧𝐞 𝐩𝐞𝐫𝐬𝐨𝐧 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐟𝐨𝐫 𝐢𝐭. 𝐎𝐧𝐞 𝐫𝐮𝐥𝐞 𝐟𝐨𝐫 𝐫𝐞𝐭𝐢𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐨𝐥𝐝 𝐯𝐞𝐫𝐬𝐢𝐨𝐧.
⠀
That is one of the simplest ways to protect the accuracy of the work your business creates with AI.
⠀
Imagine asking an AI tool to prepare a proposal for one of your main services. The tool has access to your website, an older proposal, a pricing sheet, meeting notes, and a folder of past customer materials.
⠀
There is plenty of information available, but the sources do not completely agree.
⠀
The website uses the current service name. The old proposal includes a promise the business no longer makes. The pricing sheet was updated six months ago, while the meeting notes include a special exception offered to one client. Every document may have been accurate at some point, but that does not mean every document still has the authority to speak for the business today.
⠀
The AI tool will do what it was designed to do. It will read, combine, summarize, and produce an answer that sounds complete.
⠀
The problem is that a polished answer can still be built from outdated or conflicting decisions.
⠀
AI cannot know that one promise was retired, one price changed, or one exception was never meant to become standard policy unless the business has made those distinctions clear.
⠀
This is where many companies assume they need a better prompt when the real issue sits deeper inside the operation.
⠀
The business has not fully settled what is current, what has changed, who has the authority to approve it, or where the final version belongs.
⠀
That can affect far more than one proposal. The same disagreement can move into customer emails, service pages, sales materials, social content, automated replies, internal instructions, and anything else the tool is helping the team create.
⠀
The answer is not one enormous document filled with every fact the business has ever collected. It is a managed source that clearly represents the decisions the company has approved now.
⠀
For each important area of the business, someone needs to know where the current answer lives.
⠀
That includes service descriptions, pricing approaches, policies, qualifications, contact information, customer next steps, and the promises the business is prepared to keep.
⠀
Someone also needs to own the update process. When a service changes, who revises the approved source? When a policy is replaced, who removes or archives the older version? When a temporary exception is made, how is it kept from becoming part of the standard answer?
⠀
Those may sound like small administrative details until AI begins using the information at speed and across several parts of the business.
⠀
Then one unresolved decision can be repeated in many places before anyone notices where it came from.
⠀
This is why giving AI access to more documents is not automatically the same as giving it better information. The quality of the result depends on whether the business has already decided which source carries authority when the files disagree.
⠀
It also makes this a leadership responsibility, not simply a technology task.
⠀
Someone has to decide what the business means, what it offers, what it allows, and what has officially changed. Once those decisions are settled and properly maintained, AI can help the information travel farther without quietly changing the story along the way.
⠀
Before connecting another folder, building a business notebook, or giving an AI agent access to more company files, ask:
⠀
𝐃𝐨 𝐰𝐞 𝐤𝐧𝐨𝐰 𝐰𝐡𝐢𝐜𝐡 𝐬𝐨𝐮𝐫𝐜𝐞 𝐰𝐢𝐧𝐬 𝐰𝐡𝐞𝐧 𝐭𝐰𝐨 𝐯𝐞𝐫𝐬𝐢𝐨𝐧𝐬 𝐝𝐢𝐬𝐚𝐠𝐫𝐞𝐞?
⠀
If the answer is unclear, the tool is being asked to resolve a business decision the business has not finished making.
⠀
I recently wrote a deeper guide about how disconnected information across websites, Google profiles, content, reviews, and outside sources can affect whether search and AI platforms understand and recommend a business. I’ll place it in the first comment.
⠀
#AIForSmallBusiness #AIGovernance #BusinessSystems #AIVisibility

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐨𝐧𝐥𝐢𝐧𝐞 𝐥𝐨𝐨𝐤 𝐥𝐞𝐬𝐬 𝐜𝐫𝐞𝐝𝐢𝐛𝐥𝐞 𝐭𝐡𝐚𝐧 𝐭𝐡𝐞𝐲 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐚𝐫𝐞.
⠀
They may have twenty years of experience, loyal customers, strong referrals, and a reputation that carries real weight in their community. People know their name. Customers come back. Colleagues recommend them without hesitation.
⠀
Then someone new searches for the business, and the online proof does not reflect any of that.
⠀
The reviews may be scattered across several places. The strongest testimonials may be buried on an old page or missing the detail that gives them real meaning. The website may still describe the business the way it operated five years ago, while the service descriptions, photos, and messaging change from one platform to the next.
⠀
And some of the best proof may not be online at all.
⠀
It may live in the stories customers tell, the results the team has created, the way the owner solves problems, or the trust that has been earned over years of doing excellent work.
⠀
That creates a credibility gap.
⠀
The business may be highly respected offline, but a new customer does not automatically inherit that history. They have to find enough visible evidence to feel confident moving forward.
⠀
That gap affects more than the person visiting the website. Search and AI platforms are also trying to understand what the business does, who it serves, where its authority comes from, and whether there is enough proof to include it in an answer or recommendation.
⠀
If the strongest evidence is outdated, inconsistent, buried, or still sitting inside the owner’s head, those systems have less to work with. The same is true for the customer who receives a referral and then goes online to verify what they were told.
⠀
That is why offline reputation alone is no longer enough.
⠀
A referral may start the journey, but the search that follows still has to support the recommendation. The customer is looking for reviews that sound real, examples that feel specific, photos that show the work, credentials they can verify, and language that matches the business they were told to trust.
⠀
When those pieces are missing, trust begins to leak before the first conversation ever happens.
⠀
The answer is not to manufacture more praise or cover the website with generic claims about being the best. It is to make the credibility the business has already earned easier to see, understand, and verify.
⠀
Bring the strongest reviews forward. Turn real customer outcomes into clear stories. Make sure the same strengths show up across the website, Google Business Profile, service pages, social content, photos, and every other place the business is being evaluated.
⠀
𝐘𝐨𝐮𝐫 𝐫𝐞𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐲 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐛𝐞 𝐬𝐭𝐫𝐨𝐧𝐠.
⠀
𝐓𝐡𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐬 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐭𝐡𝐞 𝐩𝐫𝐨𝐨𝐟 𝐢𝐬 𝐯𝐢𝐬𝐢𝐛𝐥𝐞 𝐞𝐧𝐨𝐮𝐠𝐡 𝐟𝐨𝐫 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐧𝐞𝐰 𝐭𝐨 𝐭𝐫𝐮𝐬𝐭 𝐢𝐭.

#AEO #GEO #SEO #GetRecommended

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐀 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐀𝐈 𝐞𝐯𝐞𝐫𝐲 𝐝𝐚𝐲 𝐚𝐧𝐝 𝐬𝐭𝐢𝐥𝐥 𝐝𝐨 𝐚𝐥𝐦𝐨𝐬𝐭 𝐞𝐯𝐞𝐫𝐲 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐚𝐬𝐤 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐦𝐚𝐧𝐮𝐚𝐥 𝐰𝐚𝐲.
⠀
One person uses ChatGPT to help write a post. Someone else asks Gemini to summarize a document. Another team member tries a new tool after seeing a demonstration online.
⠀
Everyone may be using AI, but the follow-up still depends on someone remembering. The same report still takes hours to assemble. Content still gets delayed. Customer information still has to be copied from one place to another, and every useful result depends on the person who happened to write the prompt that day.
⠀
𝐓𝐡𝐚𝐭 𝐢𝐬 𝐀𝐈 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐢𝐭 𝐜𝐚𝐧 𝐛𝐞 𝐚 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐰𝐚𝐲 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧. 𝐁𝐮𝐭 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐛𝐞𝐠𝐢𝐧𝐬 𝐰𝐡𝐞𝐧 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐨𝐬𝐞 𝐮𝐬𝐞𝐟𝐮𝐥 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐬 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐚 𝐝𝐞𝐩𝐞𝐧𝐝𝐚𝐛𝐥𝐞 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐡𝐨𝐰 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐬.
⠀
Think about turning a completed customer project into a case study. Asking AI to draft one may save time that afternoon. A real workflow goes further. The team knows what information to collect, which instructions to use, who confirms the facts and customer permissions, where the finished story belongs, and what quality looks like before it is published.
⠀
Now the process does not disappear when the person who created the original prompt is unavailable. Someone else can follow it, review it, improve it, and use it again without starting from zero.
⠀
This is where I want small businesses to be careful about adding tool after tool. More activity can make everyone feel busy and innovative while the same bottlenecks, delays, and manual work remain in place.
⠀
Start with one task that happens often, takes too much time, or keeps falling behind. Look closely at how that work moves through the business now, then decide where AI can remove friction while a person remains responsible for the facts, the final decision, and the human spark that makes the work yours.
⠀
Once that process is working well, document it and look at what actually changed. Did it save time? Improve the quality? Make the work easier to hand off? Help the customer receive a better result?
⠀
Those answers will tell you where AI has earned a lasting place in the business.
⠀
This is also why my July trainings are focused on practical use rather than more AI noise. We are working with real business needs, including visibility, video-first search, business documents, Google tools, and workflows people can put into action.
⠀
Find the full July training schedule with information and free registration for each session at smartbrandsystem dot com /events

Choose the session that best fits the work you are ready to improve. The first training begins July 1..
⠀
𝐔𝐬𝐢𝐧𝐠 𝐀𝐈 𝐦𝐨𝐫𝐞 𝐨𝐟𝐭𝐞𝐧 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐥𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐭𝐨𝐨𝐥𝐬. 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐨𝐧𝐞 𝐫𝐞𝐩𝐞𝐚𝐭𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐛𝐞𝐠𝐢𝐧𝐬 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬.
⠀
#AIForSmallBusiness

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐘𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐡𝐚𝐬 𝐚𝐧 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧, 𝐞𝐯𝐞𝐧 𝐢𝐟 𝐧𝐨 𝐨𝐧𝐞 𝐡𝐚𝐬 𝐞𝐯𝐞𝐫 𝐜𝐚𝐥𝐥𝐞𝐝 𝐢𝐭 𝐭𝐡𝐚𝐭.
⠀
Your website is one source. So are your Google Business Profile, reviews, directories, videos, social pages, internal documents, customer conversations, automated calls, public replies, and the tools connected to your business.
⠀
Together, those sources help search engines and AI platforms form a picture of who you are, what you offer, who you serve, what customers think of you, and whether the information is reliable enough to use.
⠀
The important part is that you do not fully control every source in that chain.
⠀
A team member may update one service description but not another. A directory may still show an old phone number. A review site may repeat a complaint from several years ago. An automated system may collect a detail from a third-party page and suggest it as current business information.
⠀
One inaccurate detail may seem small when viewed by itself. But when several systems copy, repeat, summarize, or act on it, the mistake can travel much farther than the original source.
⠀
That changes the question businesses need to ask.
⠀
It is no longer only, “Is our website correct?”
⠀
It is also, “Who or what is teaching search and AI systems about our business?”
⠀
Start by tracing the information that matters most:
⠀
✅ Where do your official service descriptions come from?
⠀
✅ Which source controls your hours, locations, pricing approach, policies, and contact details?
⠀
✅ Where are team members pulling facts when they create content, answer customer questions, or use AI tools?
⠀
✅ Which outside sources may still be repeating old or incomplete information?
⠀
✅ Who is responsible for checking what platforms have collected or changed?
⠀
This does not mean a small business needs to monitor every mention across the internet every day. It does mean the company needs one reliable source of truth and a regular way to check the places most likely to shape how it is understood.
⠀
Because once information begins moving through search systems, AI platforms, customer tools, and automated workflows, correcting it at the end is much harder than controlling it near the beginning.
⠀
𝐘𝐨𝐮𝐫 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐦𝐚𝐲 𝐛𝐞 𝐭𝐡𝐞 𝐦𝐚𝐢𝐧 𝐬𝐭𝐨𝐫𝐲 𝐲𝐨𝐮 𝐩𝐮𝐛𝐥𝐢𝐬𝐡.
⠀
𝐁𝐮𝐭 𝐲𝐨𝐮𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐢𝐬 𝐭𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐰𝐡𝐚𝐭 𝐭𝐨 𝐛𝐞𝐥𝐢𝐞𝐯𝐞.
⠀
#AIVisibility #AEO #GEO #BrandClarity #GetRecommended

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐄𝐯𝐞𝐫𝐲 𝐧𝐞𝐰 “𝐀𝐈 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲” 𝐭𝐚𝐜𝐭𝐢𝐜 𝐜𝐨𝐦𝐞𝐬 𝐰𝐢𝐭𝐡 𝐚 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐛𝐢𝐥𝐥.
⠀
A new file has to be updated. A new tool has to be monitored. A new version of the website has to stay accurate. A new publishing rule has to be followed by everyone who touches the content.
⠀
One experiment may not sound like much, but stack enough of them together and a small business can spend a surprising amount of time maintaining things that customers never see and some platforms may not even use.
⠀
This is why I pay close attention when a major platform explains what it actually needs.
⠀
Google’s latest guidance for generative AI search says businesses do not need special AI files, AI-only markup, tiny content fragments, or pages rewritten in a special language just for its AI features. It also makes an important distinction: a file such as may be used by another service, but Google Search ignores it.
⠀
That does not mean every tactic is worthless everywhere. Google is one part of a much larger discovery journey that now includes ChatGPT, Gemini, Perplexity, Copilot, social platforms, review sites, videos, directories, and the many places people go to ask questions, compare options, and look for recommendations.
⠀
It does mean we need to stop treating every newly named tactic as a universal requirement.
⠀
Before I add another AI-search task to a business, I want to know which of three jobs it performs.
⠀
Does it help a platform 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 the business more clearly?
⠀
Does it help a customer or system 𝐯𝐞𝐫𝐢𝐟𝐲 the claims being made?
⠀
Does it provide stronger reasons to 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 the business when someone is comparing choices?
⠀
Clear service information can do that. Original expertise can do that. Detailed reviews, real customer outcomes, accurate business profiles, useful video, consistent facts, strong technical structure, and credible mentions beyond the company’s own website can all contribute to one or more of those jobs.
⠀
A technical task with no clear platform use, no customer value, and no connection to how the business is understood or verified may simply create another item someone has to remember to maintain.
⠀
This is the discipline AI visibility requires now. We cannot ignore emerging platforms or refuse to experiment until every standard is settled. But we also cannot hand every trend a permanent place in the workflow.
⠀
Some ideas deserve testing. Some deserve watching. Some deserve no more than a note in the research file until there is clearer evidence that they help.
⠀
𝐓𝐡𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐬 𝐧𝐨𝐭 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐚 𝐭𝐚𝐜𝐭𝐢𝐜 𝐬𝐨𝐮𝐧𝐝𝐬 𝐥𝐢𝐤𝐞 𝐀𝐈 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧.
⠀
𝐓𝐡𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐬 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐢𝐭 𝐡𝐞𝐥𝐩𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐛𝐞𝐜𝐨𝐦𝐞 𝐞𝐚𝐬𝐢𝐞𝐫 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝, 𝐞𝐚𝐬𝐢𝐞𝐫 𝐭𝐨 𝐯𝐞𝐫𝐢𝐟𝐲, 𝐚𝐧𝐝 𝐞𝐚𝐬𝐢𝐞𝐫 𝐭𝐨 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝.
⠀
#AIVisibility #AEO #GEO #SearchStrategy #GetRecommended

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐓𝐡𝐞 𝐰𝐨𝐫𝐝𝐬 “𝐠𝐫𝐞𝐚𝐭 𝐬𝐞𝐫𝐯𝐢𝐜𝐞” 𝐚𝐫𝐞 𝐩𝐫𝐚𝐢𝐬𝐞. 𝐓𝐡𝐞𝐲 𝐚𝐫𝐞 𝐚𝐥𝐬𝐨 𝐚𝐥𝐦𝐨𝐬𝐭 𝐮𝐬𝐞𝐥𝐞𝐬𝐬 𝐚𝐬 𝐩𝐫𝐨𝐨𝐟.
⠀
I know that may sound harsh, especially when the words came from a happy customer. But think about what a person who has never worked with you can actually learn from them.
⠀
Was the business fast? Patient? Thorough? Did someone solve a problem another company could not fix? Did the team explain a complicated process clearly, keep a promise, save the customer money, or make a stressful situation easier?
⠀
“Great service” tells us the customer was pleased. The detail tells us why a future customer might choose the same business.
⠀
This is one of the easiest ways to tell whether the proof around a brand is doing real work. Remove the company name and ask whether the statement could describe almost any competitor.
⠀
“We care about our customers.”
⠀
“We provide quality work.”
⠀
“We have years of experience.”
⠀
“We go above and beyond.”
⠀
None of those claims are necessarily false. They are simply too broad to help someone understand what the business actually does differently.
⠀
A stronger version gives the customer something they can picture, remember, or verify.
⠀
Instead of saying the team is responsive, show that calls are returned within one business day.
⠀
Instead of saying the company is experienced, name the types of problems it has handled, the communities it has served, or the work it has completed.
⠀
Instead of saying customers receive personal attention, explain what happens during the first meeting, who stays involved, and how decisions are communicated.
⠀
Instead of relying on polished stock photography, show the real people, work, process, location, or finished result behind the promise.
⠀
Specific proof works because it reduces the amount of trust a customer has to supply on their own. They do not have to imagine what “quality” or “care” might mean. They can see how those words show up in the business.
⠀
There is a useful test for this:⠀
Read one of the main claims on your website, Google Business Profile, proposal, or social page. Then ask, “What would I show someone who asked me to prove this?”
⠀
If the answer is a review, example, photo, policy, credential, result, process, or story, you have something to work with.
⠀
If the answer is simply another version of the same claim, the proof is still missing.
⠀
𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐜𝐨𝐧𝐯𝐢𝐧𝐜𝐢𝐧𝐠 𝐩𝐫𝐨𝐨𝐟 𝐢𝐬 𝐫𝐚𝐫𝐞𝐥𝐲 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐩𝐨𝐥𝐢𝐬𝐡𝐞𝐝.
⠀
𝐈𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐩𝐫𝐨𝐨𝐟 𝐭𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐚 𝐛𝐫𝐨𝐚𝐝 𝐜𝐥𝐚𝐢𝐦 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐞𝐧𝐨𝐮𝐠𝐡 𝐭𝐨 𝐛𝐞 𝐛𝐞𝐥𝐢𝐞𝐯𝐞𝐝.
⠀
#CustomerTrust #BrandCredibility #AIVisibility #GetRecommended

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

@tanpukunokami Texan here & I'm rooting for Japan!!!

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐈𝐟 𝐀𝐈 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐞𝐝 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐭𝐨𝐝𝐚𝐲, 𝐰𝐨𝐮𝐥𝐝 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐟𝐢𝐯𝐞 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 𝐨𝐧𝐥𝐢𝐧𝐞 𝐜𝐨𝐧𝐟𝐢𝐫𝐦 𝐭𝐡𝐚𝐭 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐨𝐫 𝐰𝐞𝐚𝐤𝐞𝐧 𝐢𝐭?
⠀
That is the test I would run, because appearing in an AI-generated answer is only the beginning of the customer’s decision.
⠀
Imagine that someone asks Google, Gemini, ChatGPT, or Perplexity for the best business to help with a specific need, and your name appears. The customer may be interested, but they are still likely to look you up, open your Google Business Profile, scan your reviews, visit your website, check your photos, search the owner’s name, and compare what they find with what AI just told them.
⠀
In those next few minutes, they are deciding whether the recommendation feels earned.
⠀
They may notice whether your reviews explain what customers trusted you to do or simply say, “Great service.” They may look for photos that show the actual work, the people, the place, or the experience behind the business. They may check whether the website clearly explains who you help, what you do, and why someone would choose you, while also looking for credentials, history, expertise, or community involvement they can verify.
⠀
They are also looking for consistency. Does the website describe the same business they found on Google? Do the services, photos, tone, and promises line up across the Google Business Profile, social channels, service pages, and other places they may check?
⠀
This is where many established businesses lose ground. They already have the experience, reputation, customers, and results, but the visible evidence is scattered, outdated, generic, or missing from the places a new customer is most likely to search.
⠀
AI may put the business on the shortlist, but the next five minutes help determine whether the customer keeps it there.
⠀
So try this as though you have never heard of your own business. Search the name, open the first few results, read the reviews, study the photos, check the service descriptions, and search for the owner or lead expert.
⠀
Then ask: 𝑾𝒐𝒖𝒍𝒅 𝒘𝒉𝒂𝒕 𝑰 𝒇𝒐𝒖𝒏𝒅 𝒎𝒂𝒌𝒆 𝒎𝒆 𝒎𝒐𝒓𝒆 𝒄𝒐𝒏𝒇𝒊𝒅𝒆𝒏𝒕 𝒊𝒏 𝒕𝒉𝒊𝒔 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔, 𝒐𝒓 𝒘𝒐𝒖𝒍𝒅 𝒊𝒕 𝒄𝒓𝒆𝒂𝒕𝒆 𝒎𝒐𝒓𝒆 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔?
⠀
That answer will show you whether your proof supports the recommendation or quietly weakens it.

#AEO #SEO #GEO #AIinSearch #GoogleBusinessProfile #AIandSmallBusiness #GoogleCoach

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐆𝐨𝐨𝐠𝐥𝐞 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐲𝐨𝐮𝐫 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐭𝐢𝐥𝐥 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐨𝐫.
⠀
That is an important distinction for any business measuring AI visibility by citations alone.
⠀
A recent analysis looked at 100 “best software” searches. In the searches that produced an AI Overview, Google frequently cited self-promotional brand articles as sources. But in about 69% of those instances, the brand whose content helped build the answer was not the brand Google recommended.
⠀
The competitor mentioned inside the article often received the recommendation instead.
⠀
Think about how easily that can happen.
⠀
A company publishes a page naming itself among the “best” options in its category. To make the article look useful, it also describes several competitors. Google finds the page organized, relevant, and easy to understand, so it uses the content to help answer the search.
⠀
But when it is time to recommend a business, Google sees stronger outside mentions, broader authority, better-known proof, or more credible validation around one of the competitors.
⠀
The original company created the source material. The competitor earned the choice.
⠀
This is why a citation and a recommendation are not the same business result.
⠀
A citation tells you that your content helped form the answer. A recommendation tells you that your business gave the system enough confidence to become the next step.
⠀
For established businesses, this changes how comparison pages, “best of” articles, and category content need to be reviewed.
⠀
If the page praises your business with broad claims while giving competitors more specific descriptions, stronger proof, or clearer differentiation, you may be making their case for them.
⠀
And if most of the authority around your company comes from your own website, AI and the customer still have to decide whether anyone else confirms what you are saying.
⠀
That outside proof can come from detailed reviews, customer outcomes, credible media coverage, association profiles, community mentions, videos, interviews, expert contributions, and other sources that help validate the business beyond its own claims.
⠀
This does not mean comparison content is a bad idea. It means the content has to do more than organize the category.
⠀
It needs to make clear what your business does differently, who it is best suited to help, what proof supports the claim, and why someone would choose you after comparing the options.
⠀
So when you review your AI visibility, do not stop at:
⠀
“Were we mentioned?”
⠀
Ask: ➡️ “Were we cited?”
➡️ “Were we recommended?”
➡️ “Did someone visit, contact, or choose us?”
⠀
Because your content can help AI answer the question while your competitor walks away with the customer.
⠀
𝐁𝐞𝐢𝐧𝐠 𝐢𝐧 𝐭𝐡𝐞 𝐚𝐧𝐬𝐰𝐞𝐫 𝐢𝐬 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐚𝐬 𝐛𝐞𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐡𝐨𝐢𝐜𝐞.
⠀
I’ll place the research behind this in the first comment.

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐓𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐭𝐡𝐚𝐭 𝐠𝐞𝐭 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐟𝐫𝐨𝐦 𝐀𝐈 𝐦𝐚𝐲 𝐧𝐨𝐭 𝐛𝐞 𝐭𝐡𝐞 𝐨𝐧𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐭𝐨𝐨𝐥𝐬.
⠀
They may simply be the clearest about who they are, how they work, and what they will not let AI decide for them.
⠀
As AI moves deeper into content, customer service, marketing, research, and internal workflows, businesses need clear decisions guiding what the tool can do and where the human still leads.
⠀
The tool is only one part of the system.
⠀
The business still needs to know what it wants the tool to protect, repeat, recognize, and leave alone.
⠀
That includes the way the brand sounds, the promises it makes, the customers it serves, the proof it relies on, the standards it will not lower, and the places where a human still needs to make the final call.
⠀
This is where brand architecture becomes much more than colors, fonts, and a logo.
⠀
It becomes the structure that helps the business stay recognizable while more work moves through AI.
⠀
If the brand is unclear, AI can create faster, but it may also create more inconsistency. It may produce content that sounds polished but does not sound like you. It may recommend language that weakens your positioning, overlook the proof that makes you credible, or make choices that do not fit the way you actually serve people.
⠀
The businesses that benefit most will be the ones that have already made some important decisions:
⠀
Who are we for?
⠀
What do we want to be known for?
⠀
What do we sound like?
⠀
What proof supports what we say?
⠀
What information can AI use?
⠀
What still needs human review?
⠀
What will we never hand over simply because a tool can do it faster?
⠀
That is architecture. And from a visibility standpoint, it reaches far beyond internal documents.
⠀
It shows up in the website, Google Business Profile, reviews, service pages, social content, photos, search signals, structured data, and every place the business is being interpreted by people, Google, and AI systems.
⠀
It is not only about where the business appears. It is about whether the structure is clear enough for people, Google, AI systems, and even the team inside the business to understand it consistently
⠀
Because visibility is not only about being present in more places. It is about building a clear enough structure that the business can still be understood, trusted, and chosen wherever it appears.
⠀
AI can help a clear brand move faster.
⠀
But it cannot make the decisions the business has never made.

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐰𝐢𝐧 𝐢𝐬 𝐧𝐨𝐭 𝐭𝐡𝐚𝐭 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐀𝐈. 𝐈𝐭 𝐢𝐬 𝐭𝐡𝐚𝐭 𝐭𝐡𝐞𝐲 𝐜𝐚𝐧 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐬𝐞𝐞 𝐰𝐡𝐚𝐭 𝐭𝐨 𝐝𝐨 𝐰𝐢𝐭𝐡 𝐢𝐭.
⠀
That is what stood out to us when we read Leslie’s post.
⠀
He was already thinking through where the tools could fit, what he wanted to test, and how he could use what he learned inside the real work of his business.
⠀
That is the shift we hope for every time Maria teaches.
⠀
AI becomes useful when a business owner can look at the work in front of them and recognize where there may be a better way to handle part of it. Maybe it saves time. Maybe it helps organize information. Maybe it supports research, communication, or a decision the human still needs to make.
⠀
But it has to move beyond awareness.
⠀
It has to move into the workflow.
⠀
Thank you, Leslie Hollie Jr., for taking the time to reflect, share your experience, and bring such a practical mindset to the session.
⠀
We are excited to see what you put into motion through Texas Oversight Investigative Consulting and Training.
⠀
Swipe through to read part of what Leslie shared and the lesson we hope every business owner takes from it.
⠀
#AIForBusiness #GeminiAI #SmallBusiness #BusinessWorkflows #GrowWithGoogle

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐘𝐨𝐮𝐫 𝐆𝐨𝐨𝐠𝐥𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐢𝐬 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐟𝐚𝐫 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐚 𝐥𝐨𝐜𝐚𝐥 𝐥𝐢𝐬𝐭𝐢𝐧𝐠.
⠀
Google has now connected Google Business Profile more deeply into Google Analytics, and it has announced that business owners will begin getting the ability to connect their profiles directly to Gemini as the feature rolls out globally this month.
⠀
That is big news.
⠀
Inside Google Analytics, businesses can link their Google Business Profile and bring local customer actions into a dedicated reporting area. That includes interactions such as phone calls, bookings, requests for directions, website clicks, messages, and menu views.
⠀
For years, many business owners have looked at website traffic in one place and Google Business Profile activity somewhere else. Now they can begin seeing more of that customer journey together.
⠀
The Gemini connection may be an even bigger shift.
⠀
Google says that, as the feature rolls out, business owners will be able to securely connect their Google Business Profile directly to Gemini, giving it access to business context such as reviews, customer questions, profile information, and performance data.
⠀
That means a business owner could ask Gemini how the business performed that month, get help responding to a recent review, identify missing profile information, update operating hours, or create a seasonal post using real information from the business.
⠀
Think about what that signals.
⠀
Your Google Business Profile is becoming part visibility asset, part performance dashboard, and part working business knowledge source.
⠀
Which also means the quality of the information inside it becomes even more important.
⠀
If the profile is incomplete, outdated, thin, or inconsistent, that weak information does not stay contained inside the listing. It can affect the reports you review, the recommendations you receive, and the content AI helps you create.
⠀
This is why I have never treated Google Business Profile as something a business sets up once and checks occasionally.
⠀
It contains some of the clearest signals about what the business does, how customers interact with it, what questions they ask, what they say in reviews, and what actions they take next.
⠀
Now Google is making more of that information usable across Analytics and Gemini.
⠀
The opportunity is exciting, but it comes with a very practical assignment:
⠀
𝐁𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮 𝐚𝐬𝐤 𝐀𝐈 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐫𝐮𝐧 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐦𝐚𝐤𝐞 𝐬𝐮𝐫𝐞 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐭 𝐢𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐢𝐬 𝐚𝐜𝐜𝐮𝐫𝐚𝐭𝐞, 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞, 𝐚𝐧𝐝 𝐰𝐨𝐫𝐭𝐡𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐛𝐮𝐢𝐥𝐭.
⠀
I’ll place Google’s announcements in the first comment.

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

@tuuu28283 HEB is the best!!

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐓𝐡𝐢𝐬 𝐰𝐞𝐞𝐤, 𝐈’𝐦 𝐩𝐮𝐭𝐭𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐨𝐰𝐧𝐞𝐫𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐓𝐞𝐱𝐚𝐬 𝐚𝐧𝐝 𝐎𝐤𝐥𝐚𝐡𝐨𝐦𝐚.

The conversations may be happening in different places, but the need is the same.

Business owners want practical ways to use AI without adding more confusion, more subscriptions, or more work to an already full plate.

So this week, the focus is on using tools like Gemini, Google Workspace, Analytics, and AI-powered workflows to help businesses work more efficiently, make stronger decisions, and create better systems around the work they are already doing.

Here is where I’ll be:

▶ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐔𝐬𝐢𝐧𝐠 𝐆𝐞𝐦𝐢𝐧𝐢
Dallas ISD Minority & Women’s Business Enterprise
Wednesday, June 17

▶ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐔𝐬𝐢𝐧𝐠 𝐆𝐞𝐦𝐢𝐧𝐢
Choctaw Small Business Office
Wednesday, June 17

▶ 𝐌𝐚𝐤𝐞 𝐁𝐞𝐭𝐭𝐞𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐀𝐈
Tarleton State University
Thursday, June 18

▶ 𝐌𝐚𝐤𝐢𝐧𝐠 𝐀𝐈 𝐖𝐨𝐫𝐤 𝐟𝐨𝐫 𝐘𝐨𝐮
Women’s Business Circle
Saturday, June 20

These are the conversations I love because they move AI out of the “interesting tool” category and into the real work of the business.

Where is time being lost?
What is still being repeated manually?
What information is available but not being used well?
Where could AI support the workflow while the human stays in charge?

Grateful to Grow with Google and each of these organizations for continuing to make practical AI education available to business owners who are ready to put it to work.

You can find upcoming sessions at https://t.co/5BBf4EX9CX or https://t.co/UeQlMNiuy1.

#growwithgoogle
#googleai
#gemini
#googlecoach
#smartbrandsystem

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐀𝐈 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐚𝐬 𝐀𝐈 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧.

You can watch the trainings, save the posts, test the prompts, download the tools, and feel like you are moving forward because you are learning a lot.

And learning matters. I am not dismissing that. 𝐁𝐮𝐭 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐈 𝐚𝐧𝐝 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐡𝐨𝐰 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐫𝐮𝐧𝐬 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐭𝐡𝐢𝐧𝐠.

That is where I see a lot of business owners getting stuck. They are consuming information, trying tools, and collecting ideas, but the work inside the business still moves the same way it did before.

The follow-up is still manual. The content still starts from scratch. The customer questions still get answered one by one. The reviews still sit there without being used well. The reporting still takes too long to pull together. The owner is still the person holding too many pieces in their head.

𝐓𝐡𝐚𝐭 𝐢𝐬 𝐧𝐨𝐭 𝐫𝐞𝐚𝐥 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧. 𝐓𝐡𝐚𝐭 𝐢𝐬 𝐀𝐈 𝐚𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬 𝐬𝐢𝐭𝐭𝐢𝐧𝐠 𝐨𝐧 𝐭𝐨𝐩 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐨𝐥𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰.

Don’t feel bad, small business owners. I see several large corporations running with antiquated approval systems that cannot keep up with the growth and pace of AI.

This is where shallow implementation can fool you because something is happening. You are testing. You are experimenting. You are trying.

But structural implementation changes what happens next.

It changes how leads are followed up with, how content is created, how customer questions are handled, how visibility signals are organized, how internal knowledge is used, and how repetitive work gets supported without removing the human judgment that still needs to lead.

The goal is not to learn every AI tool. The goal is to find the places where AI can responsibly support the work your business is already doing, so you can stop leaking time in the same places week after week.

So the question is not, “What AI tool should I learn next?”

The better question is, 𝑾𝒉𝒆𝒓𝒆 𝒊𝒔 𝒕𝒉𝒆 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒔𝒕𝒊𝒍𝒍 𝒓𝒖𝒏𝒏𝒊𝒏𝒈 𝒎𝒂𝒏𝒖𝒂𝒍𝒍𝒚 𝒘𝒉𝒆𝒏 𝒊𝒕 𝒅𝒐𝒆𝒔 𝒏𝒐𝒕 𝒉𝒂𝒗𝒆 𝒕𝒐?

That is usually where the real implementation starts.

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐑𝐚𝐧𝐤𝐢𝐧𝐠 𝐨𝐧 𝐆𝐨𝐨𝐠𝐥𝐞 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐦𝐞𝐚𝐧 𝐀𝐈 𝐜𝐚𝐧 𝐬𝐞𝐞 𝐲𝐨𝐮.

𝐘𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐦𝐚𝐲 𝐛𝐞 𝐯𝐢𝐬𝐢𝐛𝐥𝐞 𝐢𝐧 𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐬𝐭𝐢𝐥𝐥 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐚𝐧𝐬𝐰𝐞𝐫𝐬.

That is the part more established business owners need to understand as search keeps moving into AI Overviews, answer engines, and conversational tools like ChatGPT, Gemini, Perplexity, and Claude.

Being findable in traditional search is not the same as being understood well enough to be mentioned, cited, compared, or recommended by AI powered systems.

That is where the blind spot starts. A business can have years of experience, loyal customers, strong referrals, and a decent Google presence, but if the signals around that business are thin, scattered, outdated, or inconsistent, AI tools may not have enough confidence to include it in the answer.

This is why I keep talking about SEO, AEO, and GEO together.

>> SEO helps search engines find and understand your pages.
>> AEO helps your business become easier to use as a direct answer when someone asks a specific question.
>> GEO helps AI powered tools understand, mention, cite, and recommend your business when someone is asking for guidance, options, comparisons, or a trusted next step.

The mistake is assuming one automatically covers the others. It doesn't.

Intelligent Search (which is Visibility in 2026 and beyond) is becoming more connected than that. These systems are looking at the pattern around your business, your website, Google Business Profile, reviews, service pages, social content, photos, local signals, articles, mentions, and the consistency of what is being said about you across the web.

𝐓𝐡𝐚𝐭 𝐢𝐬 𝐰𝐡𝐲 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐬 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐣𝐮𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐛𝐞𝐢𝐧𝐠 𝐨𝐧𝐥𝐢𝐧𝐞. 𝐈𝐭 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐛𝐞𝐢𝐧𝐠 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐨𝐨𝐝.

In my latest YouTube video, I walk through how to start looking at your business across SEO, AEO, and GEO so you can see where your visibility is strong, where it is thin, and where the signals may not be clear enough for the way people are searching now.

I broke this down more fully in this YouTube video, including how to start looking at your visibility across SEO, AEO, and GEO. https://t.co/Wp1wNxOCfr

[Maria Elena Duron | Marketing Coach | Strategist @mariaduron]

𝐓𝐡𝐞 𝐫𝐞𝐯𝐞𝐚𝐥 𝐢𝐬 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐧𝐝 𝐢𝐬 𝐜𝐥𝐞𝐚𝐫 𝐞𝐧𝐨𝐮𝐠𝐡 𝐭𝐨 𝐜𝐫𝐞𝐚𝐭𝐞 𝐟𝐫𝐨𝐦.

That's top of mind for me with Pomelli, one of the Google Labs tools many business owners still have not heard about yet.

Pomelli is built to help small and medium businesses create on-brand marketing content, and because it sits inside Google Labs, it may not be on everyone’s radar yet. But the newest updates make it even more interesting for small businesses that are trying to create content, clarify their brand, and show up more consistently without adding another complicated production process.

Pomelli Agent can help build your core brand identity if you are just getting started. Brand Books can generate a style guide with fonts, colors, and imagery. Websites can create a website in a few clicks using your Google Business Profile information.

And right now, it is free.

But this is where I would slow down before treating it like just another content tool.

If your business information is vague, scattered, outdated, or unclear, AI has less to work with. If your website does not clearly explain what you do, your Google Business Profile is thin, your photos are weak, your messaging is inconsistent, and your offer is hard to understand, then faster content creation may only help you create more from a shaky foundation.

Pomelli may help create content faster, but the quality of what it creates still depends on the clarity of the brand signals you give it. Your website, your Google Business Profile, your visuals, your wording, your offers, and the way your business shows up across the web all become part of what the tool has to interpret.

So yes, I think Pomelli is worth testing, especially while it is free and still in Google Labs. But I would not test it by only asking, “What can this make for me?”

I would ask, 𝑾𝒉𝒂𝒕 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒓𝒆𝒗𝒆𝒂𝒍 𝒂𝒃𝒐𝒖𝒕 𝒉𝒐𝒘 𝒄𝒍𝒆𝒂𝒓𝒍𝒚 𝒎𝒚 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒊𝒔 𝒔𝒉𝒐𝒘𝒊𝒏𝒈 𝒖𝒑?

On-brand content starts before the design gets generated. It starts with whether the business is clear enough to be understood.

Join in on #WebinarWednesday. Link to join for free in comment.